Labelling

WAY OF HIGHLIGHTING OBJECTS IN PYTHON

Key Points of Discussion

What is Labelling

Why Labelling

Importance of labelling

Labelling Tools

Challenges

Applications

What is Labelling

Process of Highlighting images

Supervised learning

Marking various details

Why Labelling

Custom Datasets

Details highlighted effectively

Train model on Labelled Co-ordinates

Detailed Object Detection

Importance of Labelling

Detailed object detection in harder without Labelling

Hard to train models as according to requirements

Image classification is difficult task for custom data

Can create custom model without tons of dataset

Labelling Tools

labelme

•labelImg

•CVAT

•hasty.ai

•Labelbox

Challenges

Time Taking Approach

Dataset Image Resolution should be better

Should need to categorize object for multiple outputs

Misguiding model will lead to disaster output

Applications

Safe City Projects

Self-Driving Vehicle

Security Programs

Medical Industry

Driver Assist in Vehicles…etc.